Skip to main content
Croatian Medical Journal logoLink to Croatian Medical Journal
. 2019 Jun;60(3):284–289. doi: 10.3325/cmj.2019.60.284

Precision medicine and monoclonal antibodies: breach of promise?

Livio Garattini 1, Anna Padula 1
PMCID: PMC6563176  PMID: 31187957

Precision medicine (PM) is an emerging approach for disease treatment and prevention that, beyond environment and lifestyle, mainly takes into account individual gene variability (1). PM best incorporates all the expectations raised by the most advanced pharmacological therapies in development (2). Unlike competing definitions (eg, personalized medicine) (3), PM aims to stratify (rather than individualize) pharmacological therapies to subgroups of patients who have the genetic variant of interest (4), overcoming the traditional “one size fits all” drug paradigm. Pharmacogenomics − the study of the influence of genetic variability on drug responses (5) − should help identify “the right drug at the right dose for the right patient” (2). By influencing or predicting the response to treatment (1), PM should optimize the efficacy and safety of drugs administered according to the patient’s genomic profile (6), ideally maximizing pharmacological responses and minimizing the side effects (7). Since tumors tend to arise from genetic variants (1), cancer treatment has so far been the most investigated area of PM. However, longer-term expectations of PM are pharmaceutical therapies for all diseases (2).

Monoclonal antibodies (mABs) are the latest generation of drugs that fit the PM paradigm most (8). Approved in record numbers (at twice the rate of small molecules) (9) and having sky-high prices, mABs are indicated for many tumors (their main field of application) and chronic illnesses. The pharmaceutical industry expects biological markers – molecules found in the human body that are signs of normal or abnormal processes (10) − to play a major role in using mABs for optimal treatment in clinical practice (11). The first paradigmatic example of targeted therapy in oncology was trastuzumab (with HER2 as a biomarker in breast cancer) (12), followed by cetuximab (with EGFR and KRAS in colorectal cancer) (3).

To assess the general trend of mABs and their relationship with PM, we analyzed the main characteristics of the 68 mABs approved in the European Union (EU) in the last two decades (1998-2018).

Monoclonal antibodies survey

After a slow take-off, the number of mABs approved by the European Medicines Agency has dramatically increased in the last five years (Figure 1). The majority of mABs approved in the second decade are human or humanized ones (Figure 2), a trend which might reduce allergic reactions and boost clinical effects. The proportion of mABs indicated for cancer is still highest, although it has slightly decreased in the second decade (Figure 3).

Figure 1.

Figure 1

Monoclonal antibodies approved in the European Union (EU) by years.

Figure 2.

Figure 2

Distribution of monoclonal antibodies approved in the European Union by source.

Figure 3.

Figure 3

Distribution of monoclonal antibodies approved in the European Union by therapeutic target.

The European public assessment reports for half of the 26 approved anti-cancer mABs do not list a biomarker (13) (Table 1). Biomarkers are reported more frequently for the mABs approved for solid tumors (14), which are slightly more numerous than those for blood cancers (12) – the latter being more curable than the former for a long time with small molecules. Of the nine biomarkers reported, all but one (Philadelphia chromosome) are proteins, and the only companion tests explicitly written in all the European reports are still those for detecting the biomarkers of the two “pioneer” targeted mABs (3).

Table 1.

Anti-cancer monoclonal antibodies approved in the European Union, biomarkers indicated in their labels by European Medicines Agency, and main indications (1998-2018)*

International nonproprietary name† Year of approval Biomarker Main indications
Rituximab
1998

non-Hodgkin lymphoma
Trastuzumab
2000
HER2
breast and stomach cancer
Cetuximab
2004
EGFR, KRAS and NRAS
colorectal cancer
Ibritumomab tiuxetan
2004

non-Hodgkin lymphoma
Bevacizumab
2005
EGFR
advanced non-small cell lung cancer
Panitumumab
2007
KRAS and NRAS
colorectal cancer
Ofatumumab
2010

chronic lymphocytic leukemia
Ipilimumab
2011

advanced melanoma and advanced renal cell carcinoma
Brentuximab vedotin
2012
CD30
Hodgkin lymphoma
Moxetumomab pasudotox
2013

B-lymphoblastic leukemia/lymphoma
Pertuzumab
2013
HER2
breast cancer
Obinutuzumab
2014

chronic lymphocytic leukemia
Ramucirumab
2014

gastric cancer
Blinatumomab
2015
Philadelphia-chromosome, CD19
acute lymphoblastic leukemia
Necitumumab
2015
EGFR
squamous non-small cell lung cancer
Nivolumab
2015

melanoma, non-small cell lung cancer
Pembrolizumab
2015
PD-L1
melanoma, non-small cell lung cancer, urothelial cancer, head and neck cancer
Daratumumab
2016

multiple myeloma
Elotuzumab
2016

multiple myeloma
Olaratumab
2016

soft tissue sarcoma
Atezolizumab
2017
PD-L1
urothelial cancer
Avelumab
2017

Merkel cell carcinoma
Inotuzumab ozogamicin
2017
CD22
acute lymphoblastic leukemia
Gemtuzumab ozogamicin
2018
CD33
acute myeloid leukemia
Mogamulizumab
2018

mycosis fungoides or Sézary syndrome
Durvalumab 2018 PD-L1 non-small cell lung cancer

*CD – cluster of differentiation; EGFR – epidermal growth factor receptor; HER2 – human epidermal growth factor receptor 2; PD-L1 – programmed death-ligand 1; KRAS – Kirsten RAt Sarcoma virus; NRAS – neuroblastoma RAS viral oncogene homolog.

Source. Janice MR. The Antibody Society. Available from: https://www.antibodysociety.org/. Accessed: January 2019.

Companion test mentioned in the European Public Assessment Report.

Many of the more recent non-anti-cancer mABs have overlapping indications (Table 2). However, none of the 42 approved so far have a specific biomarker (and thus a companion test) indicated in the European reports.

Table 2.

Non-anti-cancer monoclonal antibodies approved in the European Union and their main indications (1998-2018)

International nonproprietary name* Approval year Main indications
Abciximab
1995
prevention of cardiac ischemic complications, unstable angina
Basiliximab
1998
prevention of kidney transplant rejection
Palivizumab
1999
prevention of respiratory syncytial virus infection
Infliximab
1999
rheumatoid arthritis, Crohn's disease, psoriatic arthritis, psoriasis, ankylosing spondylitis
Adalimumab
2003
idiopathic arthritis, plaque psoriasis, Crohn's disease, uveitis
Omalizumab
2005
asthma
Natalizumab
2006
multiple sclerosis
Ranibizumab
2007
macular degeneration
Eculizumab
2007
paroxysmal nocturnal hemoglobinuria, atypical haemolytic uraemic syndrome
Certolizumab pegol
2009
rheumatoid arthritis, axial spondyloarthritis, psoriatic arthritis, plaque psoriasis
Ustekinumab
2009
Crohn's disease
Canakinumab
2009
periodic fever syndromes, Still's disease, Gouty arthritis
Golimumab
2009
rheumatoid and psoriatic arthritis, axial spondyloarthritis, ulcerative colitis
Tocilizumab
2009
rheumatoid arthritis
Denosumab
2010
osteoporosis
Belimumab
2011
systemic lupus erythematosus
Alemtuzumab
2013
multiple sclerosis
Raxibacumab
2014
anthrax infection
Siltuximab
2014
Castleman disease
Vedolizumab
2014
ulcerative colitis, Crohn's disease
Idarucizumab
2015
reversal of dabigatran-induced anticoagulation
Secukinumab
2015
plaque psoriasis
Mepolizumab
2015
severe eosinophilic asthma
Alirocumab
2015
hypercholesterolaemia, mixed dyslipidaemia
Evolocumab
2015
hypercholesterolaemia, mixed dyslipidaemia
Ixekizumab
2016
plaque psoriasis, psoriatic arthitis
Reslizumab
2016
asthma
Bezlotoxumab
2017
prevention of recurrent Clostridium difficile infection
Brodalumab
2017
plaque psoriasis
Guselkumab
2017
plaque psoriasis
Dupilumab
2017
atopic dermatitis
Sarilumab
2017
rheumatoid arthritis
Obiltoxaximab
2018
prevention of inhalational anthrax
Ocrelizumab
2018
multiple sclerosis
Emicizumab
2018
hemophilia A
Benralizumab
2018
asthma
Burosumab
2018
X-linked hypophosphatemia
Erenumab
2018
migraine prevention
Galcanezumab
2018
migraine prevention
Lanadelumab
2018
hereditary angioedema attacks
Tildrakizumab
2018
plaque psoriasis
Caplacizumab 2018 acquired thrombotic thrombocytopenic purpura

*Source: Janice MR. The Antibody Society. Available from: https://www.antibodysociety.org/. Accessed: January 2019.

From theory to practice

Precision medicine

Focused on biology rather than on other variables, such as lifestyle or environment, PM presents itself as the ultimate science, and its full promise goes even beyond targeting therapies for patients (14) and includes the ability to identify healthy individuals at high risk and take preventive measures for them (15). The PM’s basic assumption is that genetics is the underlying factor in most health conditions, so diseases are mainly affected by the human genetic make-up (16). Progress in characterizing individual differences in genomic sequences should extend the application range of PM from rare monogenic diseases to more common and genetically complex pathologies (17). Although diseases such as cancer and diabetes are largely a consequence of lifestyles, inherited genetic variations are considered their crucial cause (2).

Politically exploited by the former president of the USA to successfully baptize a major research initiative (2), PM has aroused great expectations as a “weapon” that will defeat most human diseases in the next decades and fully transform medicine from art to science (16,18). However, clinical results so far have not been as encouraging as promised. There is still a chasm between identifying a genetic susceptibility and developing safe and effective medicines. If no therapies are available, the value of diagnosis or risk stratification is very limited (5). Even more, combining various risk markers not necessarily implies providing clinically meaningful information, and much variability in therapeutic efficacy is not genetically driven (16). So, regardless of PM progress, complete success is still unlikely.

Especially for cancer, the major field of PM application, genetic mutations are numerous and evolve so heterogeneously in the majority of patients that it is almost impossible to find two identical tumors (19). This is why surgical interventions are still vital as they are the only way to immediately remove this cellular diversity from patients. There are persuasive scientific reasons why cancer has no miracle cure (20). When considered objectively, the potential of PM in oncology is sobering (21), with at best short-lived responses (and unavoidable toxicity) in a small proportion of patients, at high cost. Many of the recent successes against cancer still stem from traditional public health measures (eg, screening and early detection) (22). Although targeted therapies have so far offered limited benefit for overall survival − probably due to the adaptive nature of cancer (19,22) − PM still promises to pair patients with drugs based on genetic testing irrespective of the tissue of tumor origin (21).

Monoclonal antibodies

Our survey on the mABs approved in the EU confirmed that in practice target prioritization is still a major issue, since in most cases there is a lack of biomarkers and the biomarkers are always the same in the few mABs that report them. After two decades, the industry’s mantra “no biomarker no drug” (11) has been mainly (for anti-cancer mABs) and fully (for the remaining ones) neglected in practice. Targeted therapies are still the major PM bottleneck, and “one size fits all” medicines continue to be employed (21). In oncology there are currently 343 mABs (60% of the total) under clinical trial (9), and the tendency is to treat tumors with different sites of origin with combination therapies (11,23) rather than to stratify therapies for the same cancer. This tendency should help further raise the already high returns generated by anticancer mABs through their sky-high prices (24), probably distorting further investment in this field at the expense of promising research in other disease areas.

Comment

Critics argue that PM is continuously fueling unrealistic expectations, distracting funds from tackling widespread risk factors such as smoking, alcoholism, and obesity (5). Although it is well known that many diseases stem from unhealthy lifestyles and socio-economic conditions (22), researchers’ ambitions and media channels relentlessly foster the arguable PM promises, and keep attracting big funding (14). However, PM advocates would do better to temper their narrative of radical change and communicate a more realistic set of expectations through the media to the public (5), in line with the incremental nature of science.

While we are waiting for the gap between the exorbitant expectations raised by PM and the discouraging results achieved so far to be filled, there is widespread evidence in this period of never-ending economic crisis that pharmaceutical expenditure has become increasingly unsustainable for health authorities even in most high-income countries (25), and Europe is no exception.

Pharmaceutical expenditure, like anything else, is determined by prices and volumes, and the former are increasingly out of control. This was easy to predict in a typically “market failure” situation (26), where prices cannot competitively match demand with supply. Since all pharmaceutical prices are necessarily set through arbitrary decisions, the unavoidable results are a distortion of relative prices and irrational allocation of financial resources in pharmaceuticals (27), from upstream research investments to downstream health expenditures.

The pharmaceutical industry is mainly private, and negotiating sky-high prices for new drugs like mABs is a crucial factor of success when it comes to generating high returns on research and development investments and maximizing profits in all countries (28). In this landscape, PM helps create an ideal setting for price discrimination for new similar drugs (29), and anti-cancer mABs can be considered an emblematic example of less and less sustainable prices (30). Because of the emotive nature of cancer, health authorities find it hard to resist “pleas” for reimbursement of new drugs, even when their efficacy is marginal (31). So, pharmaceutical companies have a clear incentive to invest in new anti-cancer therapies, regardless of their real impact on patients’ survival and quality of life (32).

We contend here that the time has come to stop setting arbitrary prices for new, very expensive drugs, so as to limit the distortion of allocation of financial resources in pharmaceuticals (33). Prices can hardly − if ever − be competitive in a “market failure” context, so their effect should be minimized. Leveling out prices for a very limited number of therapeutic classes and capping expenses to respect yearly budgets should become the “recipe” to master pharmaceutical expenses in the future (33). It is hard enough – probably impossible − to rank therapies on the basis of the importance of their related pathologies, so the benefits of effective medicines are even harder to differentiate through pricing.

If we strive to restore a balance between public objectives of health services and the private incentives of the pharmaceutical industry, and improve the long-term sustainability of pharmaceutical expenditure in all European countries, rational budgeting should be given priority over irrational pricing. Realistic expectations to improve patients’ health thanks to PM as a concept and mABs as therapies might then be pursued in the long run with much less suspicion in the literature.

References

  • 1.Psaty BM, Dekkers OM, Cooper RS. Comparison of 2 treatment models: precision medicine and preventive medicine. JAMA. 2018;320:751–2. doi: 10.1001/jama.2018.8377. [DOI] [PubMed] [Google Scholar]
  • 2.Collins FS, Varmus H. A new initiative on precision medicine. N Engl J Med. 2015;372:793–5. doi: 10.1056/NEJMp1500523. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Garattini L, Curto A, Freemantle N. Personalized medicine and economic evaluation in oncology: all theory and no practice? Expert Rev Pharmacoecon Outcomes Res. 2015;15:733–8. doi: 10.1586/14737167.2015.1078239. [DOI] [PubMed] [Google Scholar]
  • 4.Tutton R. Personalizing medicine: futures present and past. Soc Sci Med. 2012;75:1721–8. doi: 10.1016/j.socscimed.2012.07.031. [DOI] [PubMed] [Google Scholar]
  • 5.Evans JP, Meslin EM, Marteau TM, Caulfield T. Genomics. Deflating the genomic bubble. Science. 2011;331:861–2. doi: 10.1126/science.1198039. [DOI] [PubMed] [Google Scholar]
  • 6.Conti R, Veenstra DL, Armstrong K, Lesko LJ, Grosse SD. Personalized medicine and genomics: challenges and opportunities in assessing effectiveness, cost-effectiveness, and future research priorities. Med Decis Making. 2010;30:328–40. doi: 10.1177/0272989X09347014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Vegter MW. Towards precision medicine; a new biomedical cosmology. Med Health Care Philos. 2018;21:443–56. doi: 10.1007/s11019-018-9828-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Yan L, Beckman RA. Pharmacogenetics and pharmacogenomics in oncology therapeutic antibody development. Biotechniques. 2005;39:565–8. doi: 10.2144/000112043. [DOI] [PubMed] [Google Scholar]
  • 9.Kaplon H, Reichert JM. Antibodies to watch in 2019. MAbs. 2019;11:219–38. doi: 10.1080/19420862.2018.1556465. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Godman B, Finlayson AE, Cheema PK, Zebedin-Brandl E, Gutiérrez-Ibarluzea I, Jones J, et al. Personalizing health care: feasibility and future implications. BMC Med. 2013;11:179. doi: 10.1186/1741-7015-11-179. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.de Bono JS, Ashworth A. Translating cancer research into targeted therapeutics. Nature. 2010;467:543–9. doi: 10.1038/nature09339. [DOI] [PubMed] [Google Scholar]
  • 12.Garattini L, van de Vooren K, Curto A. Cost-effectiveness of trastuzumab in metastatic breast cancer: mainly a matter of price in the EU? Health Policy. 2015;119:212–6. doi: 10.1016/j.healthpol.2014.12.002. [DOI] [PubMed] [Google Scholar]
  • 13.European Medicines Agency. European public assessment reports available from: https://www.ema.europa.eu/en/medicines/field_ema_web_categories%253Aname_field/Human/ema_group_types/ema_medicine. Accessed: May 10, 2019.
  • 14.Ten Have H, Gordijn B. Precision in health care. Med Health Care Philos. 2018;21:441–2. doi: 10.1007/s11019-018-9870-x. [DOI] [PubMed] [Google Scholar]
  • 15.Dzau VJ, Ginsburg GS, Van Nuys K, Agus D, Goldman D. Aligning incentives to fulfil the promise of personalised medicine. Lancet. 2015;385:2118–9. doi: 10.1016/S0140-6736(15)60722-X. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Wiesing U. From art to science: a new epistemological status for medicine? On expectations regarding personalized medicine. Med Health Care Philos. 2018;21:457–66. doi: 10.1007/s11019-017-9820-z. [DOI] [PubMed] [Google Scholar]
  • 17.Ehmann F, Caneva L, Prasad K, Paulmichl M, Maliepaard M, Llerena A, et al. Pharmacogenomic information in drug labels: European Medicines Agency perspective. Pharmacogenomics J. 2015;15:201–10. doi: 10.1038/tpj.2014.86. [DOI] [PubMed] [Google Scholar]
  • 18.Tooke J. The science (and art) of medicine. Lancet. 2016;387(Suppl 1):S6–7. doi: 10.1016/S0140-6736(16)00263-4. [DOI] [PubMed] [Google Scholar]
  • 19.Swanton C. Cancer therapeutics through an evolutionary lens. J R Soc Med. 2018;111:8–14. doi: 10.1177/0141076817742096. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Abbasi K. The seductive hope of cancer therapies. J R Soc Med. 2018;111:343. doi: 10.1177/0141076818807039. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Prasad V. Perspective: The precision-oncology illusion. Nature. 2016;537:S63. doi: 10.1038/537S63a. [DOI] [PubMed] [Google Scholar]
  • 22.Joyner MJ, Paneth N. Seven questions for personalized medicine. JAMA. 2015;314:999–1000. doi: 10.1001/jama.2015.7725. [DOI] [PubMed] [Google Scholar]
  • 23.Wise J. Genome sequencing of children promises a new era in oncology. BMJ. 2019;364:l105. doi: 10.1136/bmj.l105. [DOI] [PubMed] [Google Scholar]
  • 24.Tay-Teo K, Ilbawi A, Hill SR. Comparison of sales income and research and development costs for fda-approved cancer drugs sold by originator drug companies. JAMA Netw Open. 2019;2:e186875. doi: 10.1001/jamanetworkopen.2018.6875. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Ploumen L, Schippers E. Better life through medicine − let’s leave no one behind. Lancet. 2017;389:339–41. doi: 10.1016/S0140-6736(16)31905-5. [DOI] [PubMed] [Google Scholar]
  • 26.Garattini L, Padula A. Competition in pharmaceuticals: more product- than price-oriented? Eur J Health Econ. 2018;19:1–4. doi: 10.1007/s10198-017-0932-4. [DOI] [PubMed] [Google Scholar]
  • 27.Frakt AB, Chernew ME. The Importance of relative prices in health care spending. JAMA. 2018;319:441–2. doi: 10.1001/jama.2017.20047. [DOI] [PubMed] [Google Scholar]
  • 28.Garattini L, Padula A. Between pharmaceutical patents and European patients: is a compromise still possible? Expert Opin Ther Pat. 2017; 27(10):1073-6. [DOI] [PubMed]
  • 29.Chandra A, Garthwaite C. The economics of indication-based drug pricing. N Engl J Med. 2017;377:103–6. doi: 10.1056/NEJMp1705035. [DOI] [PubMed] [Google Scholar]
  • 30.Dolgin E. Bringing down the cost of cancer treatment. Nature. 2018;555:S26–9. doi: 10.1038/d41586-018-02483-3. [DOI] [PubMed] [Google Scholar]
  • 31.van de Vooren K, Curto A, Garattini L. Optional copayments on anti-cancer drugs. BMJ. 2013;346:f349. doi: 10.1136/bmj.f349. [DOI] [PubMed] [Google Scholar]
  • 32.Reinhardt U. Probing our moral values in health care: the pricing of specialty drugs. JAMA. 2015;314:981–2. doi: 10.1001/jama.2015.9593. [DOI] [PubMed] [Google Scholar]
  • 33.Garattini L, Padula A. Pharmaceutical pricing conundrum: time to get rid of it? Eur J Health Econ. 2018;19:1035–8. doi: 10.1007/s10198-018-0995-x. [DOI] [PubMed] [Google Scholar]

Articles from Croatian Medical Journal are provided here courtesy of Medicinska Naklada

RESOURCES